| 摘要: |
| ［摘要］ 膝关节周围截骨术是治疗单间室骨关节炎、矫正下肢力线的重要保膝手术，其术式多样。传统诊疗模式在面对“如何为患者选择并规划最佳术式”这一核心决策时，主要依赖有限的经验和二维影像分析，难以对不同术式可能引发的复杂三维生物力学改变及特定并发症风险进行系统性量化评估与预测。人工智能与多模态数据融合技术的快速发展，为解决这一决策困境并推动诊疗模式向全周期精准化转型提供了新机遇。该文系统阐述一个新兴的智能诊疗范式：通过深度融合患者多维度数据，构建能够模拟、评估并优化不同截骨策略的智能决策支持系统，实现对多种术式的个性化优选、手术风险的量化预测以及手术的精准规划与执行。该文重点分析了该范式的核心优势、技术路径与当前面临的主要挑战，并展望其引领保膝手术迈向数字化与精准化新时代的广阔前景。 |
| 关键词: 智能骨科 膝关节周围截骨术 多模态数据融合 数字孪生 |
| DOI：10.3969/j.issn.1674-3806.2026.05.03 |
| 分类号:R 684 |
| 基金项目:国家重点研发计划项目（编号：2022YFC3601900） |
|
| Application and prospects of artificial intelligence in the treatment planning of periarticular knee osteotomy |
|
PEI Zhiwei1,2,3, TIAN Aixian1,2,3, ZHANG Baoxin1, MIAO Zukang1,4, JIA Jingkun1,5, DAI Jing1,2,3, BAI Lei1,4, YANG Lu1,2,3, JIANG Ning1,4, MA Xinlong1,2,3
|
|
1.Institute of Orthopedics, Tianjin Hospital, Tianjin University, Tianjin 300211, China; 2.Orthopaedic Medical Center, Tianjin University, Tianjin 300211, China; 3.Tianjin Key Laboratory of Orthopedic Biomechanics and Medical Engineering, Tianjin 300050, China; 4.College of Integrated Chinese and Western Medicine,Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; 5.Clinical College of Orthopedics,Tianjin Medical University, Tianjin 300070, China
|
| Abstract: |
| ［Abstract］ Periarticular knee osteotomy is an important joint-preserving surgery for treating unicompartmental knee osteoarthritis and correcting lower limb alignment, with diverse surgical techniques available. When facing the core decision of “how to select and plan the optimal surgical technique for a patient”, traditional diagnostic and treatment models primarily rely on limited experience and two-dimensional imaging analysis, making them difficult to systematically and quantitatively assess and predict the complex three-dimensional biomechanical alterations and specific complication risks that different surgical techniques may induce. The rapid advancement of artificial intelligence(AI) and multimodal data fusion technologies provides new opportunities to address this decision-making dilemma and propel the diagnostic and treatment models toward a comprehensive and precise transformation covering the entire patient journey. This paper aims to present a narrative review that systematically elaborates an emerging intelligent diagnostic and treatment paradigm. This paradigm, by deeply integrating multidimensional patient data, constructs an intelligent decision support system capable of simulating, evaluating, and optimizing various osteotomy strategies. Consequently, it realizes personalized selection for various surgical procedures, quantitative prediction of surgical risks, and precise planning and executing the surgery. The paper focuses on analyzing the core advantages, technical paths, and current major challenges of this paradigm, and looks forward to its broad prospects in leading knee-preserving surgeries into a new era of digitalization and precision. |
| Key words: Intelligent orthopedics Periarticular knee osteotomy Multimodal data fusion Digital twin(DT) |
